Senior Data Product Owner

# Think Data Be Smart #

About Us: DataSmart is a Portuguese company, positioning itself as a consulting company of excellence, with over 20 years of existence. We are specialized in Technologies and Information Systems services, for the Portuguese and International markets. We pride ourselves on fostering a culture of involvement, experience, and excellence.

Join our team as a Senior Data Product Owner (Hybrid – Lisbon)!

What You’ll Do:.

• Define and communicate a clear product vision aligned with business objectives.
• Ensure all initiatives deliver measurable business value.
• Prioritize the roadmap based on impact, effort, risks, and strategic goals.
• Translate business and functional requirements into well-defined user stories and backlog items.
• Define acceptance criteria and ensure stories are ready for development.
• Prioritize and continuously refine the backlog according to business needs and dependencies.
• Balance roadmap initiatives with operational and continuous improvement activities.
• Engage with business, data, analytics, compliance, and technology stakeholders.
• Facilitate discussions to clarify requirements, expectations, and priorities.
• Challenge assumptions and requirements when necessary to maximize value delivery.
• Manage stakeholder expectations and communicate progress, risks, and dependencies.
• Define and maintain requirements for data products, datasets, and data services.
• Ensure alignment between business requirements and data platform capabilities.
• Drive decisions related to data quality, accessibility, governance, and usability.
• Promote data-driven decision-making across the organization.
• Ensure data governance principles are incorporated into product requirements.
• Consider data lineage, quality, access management, privacy, and compliance requirements.
• Collaborate with governance and compliance teams to ensure adherence to policies.
• Lead backlog refinement, sprint planning, reviews, and prioritization activities.
• Work closely with Scrum Masters, Delivery Leads, and engineering teams.
• Monitor delivery progress and remove functional blockers.
• Support continuous improvement of Agile processes and team effectiveness.
• Maintain clear and structured documentation in Confluence.
• Create and update runbooks, process documentation, and decision logs.
• Document business processes, requirements, and architecture decisions.
• Ensure knowledge is shared across teams and stakeholders.
• Coordinate activities across DataHub, IT, Engineering, Analytics, and Business teams.
• Establish effective ways of working, governance forums, and prioritization processes.
• Manage dependencies across multiple initiatives and teams.
• Ensure alignment between strategic roadmap initiatives and operational demands.

Qualifications:.

• Strategic objectives and business priorities.
• Current pain points, opportunities, and expected outcomes.
• Key business KPIs and success metrics.
• Understanding of business processes supported by data products.
• List of key stakeholders and decision-makers.
• Roles, responsibilities, and governance structure.
• Existing communication and escalation channels.
• Stakeholder expectations and priorities.
• Existing roadmap and planned initiatives.
• Current backlog and prioritization criteria.
• Product vision, objectives, and constraints.
• Dependencies with other products, teams, and programs.
• Overview of data architecture and ecosystem.
• Key datasets, data domains, and ownership model.
• Data quality challenges and governance framework.
• Existing lineage, cataloging, and access management processes.
• Agile methodology currently in use (Scrum, Kanban, Hybrid).
• Jira workflows, boards, and reporting mechanisms.
• Team capacity and delivery cadence.
• Existing ceremonies and governance processes.
• Confluence spaces and documentation standards.
• Existing runbooks and operational procedures.
• Architecture principles and decision-making processes.
• Product management and governance frameworks.
• Data Engineers, Analytics Engineers, BI Developers, Data Scientists, and Architects involved.
• Roles and responsibilities within the DataHub-IT organization.
• Team strengths, gaps, and improvement opportunities.
• English proficiency at a professional level (minimum B1).
• Living in Portugal and available to work in a hybrid model in Lisbon.

At DataSmart, you will have the opportunity to integrate into a solid company and participate in projects of high recognition, nationally and internationally, with an appealing technological environment and career progression.

Excellence in the way to the future!

Connect with Us: Follow us on LinkedIn for updates on career opportunities, company news, and industry insights! For further details, visit us at www.datasmart.pt

#JoinOurTeam #DataSmart #ThinkDataBeSmart #Data